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All Journal Techno.Com: Jurnal Teknologi Informasi JUITA : Jurnal Informatika KLIK (Kumpulan jurnaL Ilmu Komputer) (e-Journal) Bianglala Informatika : Jurnal Komputer dan Informatika Akademi Bina Sarana Informatika Yogyakarta Seminar Nasional Teknologi Informasi Komunikasi dan Industri Jurnal Sains dan Informatika Dinamisia: Jurnal Pengabdian Kepada Masyarakat Jurnal Sustainable: Jurnal Hasil Penelitian dan Industri Terapan Justek : Jurnal Sains Dan Teknologi ILKOM Jurnal Ilmiah JURNAL PengaMAS ScientiCO : Computer Science and Informatics Journal E-JURNAL JUSITI : Jurnal Sistem Informasi dan Teknologi Informasi Jurnal Mekanova : Mekanikal, Inovasi dan Teknologi bit-Tech Jurnal Sistem informasi dan informatika (SIMIKA) Dharma Raflesia : Jurnal Ilmiah Pengembangan dan Penerapan IPTEKS Journal of Applied Data Sciences Al-Hijr: Journal of Adulearn World BABASAL English Education Journal Formosa Journal of Sustainable Research (FJSR) Jurnal Ilmiah Edutic : Pendidikan dan Informatika Journal of Information Systems and Technology (JISTech) TENANG : Teknologi, Edukasi, dan Pengabdian Multidisiplin Nusantara Gemilang TARLIM : JURNAL PENDIDIKAN AGAMA ISLAM JROCK (Journal Research on Computing Knowledge) Jurnal Sistem Informasi dan Teknologi Informasi
Muh Nurtanzis Sutoyo
Universitas Sembilanbelas November Kolaka
Religion Aerospace Engineering Agriculture, Biological Sciences & Forestry Humanities Automotive Engineering Civil Engineering, Building, Construction & Architecture Computer Science & IT Control & Systems Engineering Decision Sciences, Operations Research & Management Education Electrical & Electronics Engineering Engineering Industrial & Manufacturing Engineering Languange, Linguistic, Communication & Media Mathematics Mechanical Engineering Social Sciences Other

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Journal : ILKOM Jurnal Ilmiah

 1 
The weighted product method and portfolio assessment in ranking student achievement Andi Tenri Sumpala; Muhammad Nurtanzis Sutoyo; Huzain Azis; Fadhila Tangguh Admojo
ILKOM Jurnal Ilmiah Vol 13, No 2 (2021)
Publisher : Teknik Informatika Fakultas Ilmu Komputer Univeristas Muslim Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.33096/ilkom.v13i2.827.148-154

Abstract

The learning process has a correlation with learning achievement which can be shown through the marks given by a teacher to students from several fields of study. The ranking of student learning achievements performed by the school refers to the grades of the subject is important for the SNMPTN (National Selection for State Higher Education). To determine student achievements, the method used in the current study is the weighted product. If the results of student ranking using the WP method have the same value, then a portfolio assessment is used. Of the 127 student achievement ratings, there were seven people who had the same Vector value. Then, the seven people who have the same vector value were graded using portfolio assessment. The results showed that the implementation of the WP method and portfolio assessment could determine the ranking of student achievement.
The selection of SNMPTN applicants using the TOPSIS and rank order centroid (ROC) methods Muhammad Nurtanzis Sutoyo; Andi Tenri Sumpala Mangkona
ILKOM Jurnal Ilmiah Vol 13, No 3 (2021)
Publisher : Teknik Informatika Fakultas Ilmu Komputer Univeristas Muslim Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.33096/ilkom.v13i3.936.272-284

Abstract

One of the main functions of higher education is to develop personality abilities and shape the character of a dignified nation's civilization. One of the entry pathways for new student admissions at State Universities is the SNMPTN Path. While the number of participants who are accepted by looking at the quota on the SNMPTN line is only 20 percent of the capacity. Decision Support System as a solution that can assist policymakers in determining a decision. In this study, a decision support system was built using the TOPSIS method for selecting and ROC as a weighting for each criterion. Based on the results of the selection test for SNMPTN participants using the TOPSIS and ROC methods as weighting, it proves that it can display the cumulative ranking results of each alternative based on the criteria values owned.
Combination of the MADM Model Yager and k-NN to Group Single Tuition Payments Alders Paliling; Muh Nurtanzis Sutoyo
ILKOM Jurnal Ilmiah Vol 15, No 2 (2023)
Publisher : Prodi Teknik Informatika FIK Universitas Muslim Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.33096/ilkom.v15i2.1349.326-334

Abstract

Tuition payments at State Universities (PTN) use a Single Tuition Fee (UKT) payment system. It has been  implemented to make it easier for students to pay their tuition. The UKT system is divided into several groups starting from the UKT group I  to VIII. Universitas Sembilanbelas November (USN) Kolaka  is a state university and the university should determine the amount of tuition fees for each student according to the UKT system. In determining the UKT group for each student, several variables were used to make it easier to group student into their UKT groups. However, the large number of students, a number of variables and the limited time to determine the amount of UKT for each student become an issue,  so a method was needed to help USN Kolaka in grouping UKT for each student. One thing that can be done was to use the MADM model Yager and k-NN in order to make it easier to group UKT students. The results of the study showed that the use of the MADM Model Yager and k-NN could determine the UKT group of the students, and the results obtained for the UKT group I were 63 people (21.95%), the UKT group II were 72 people (25.09%), the UKT group III were 120 people (41.81%), UKT group IV were 7 people (2.44%), and UKT group V were 25 people (8.71%).
Co-Authors Abdul Razak Akbar, Muh. Hajar alders paliling Andi Tenri Sumpala, Andi Tenri Anjar Pradipta Ardiandi, Brukmen Arianti, Widia Arysespajayadi Arysespajayadi Arysespajayadi, Arysespajayadi Ashari Ashari Baharuddin, Zubair Bilal, Muhammad Bintang, Petra Dedu, La Ode Arfan Deviyanti, Komang Djidu, Hasan Fadhila Tangguh Admojo Fadillah Fadillah Farid Wajdi Haikal, Fikram Hasan, Radif Huzain Azis Jahring, Jahring Johar Nur Iin Kariani, Ni Komang Ria Mardianto Mardianto Mardianto Mardianto Meiliyah, Tri Nurul Miftachurohmah, Nisa Muh. Amin Muh. Amin Murhaban Murhaban Murhaban Nasruddin Nasuruddin, Nasruddin Nola Ritha Novarida, Eka Pradityo Utomo Qammaddin Qammaddin Rahayu Rahayu Riska Riska Ruslin, Ruslin Sakti, La Ode Awal Sapriyadi Saputra, Nanda Sarmadan Sarmadan, Sarmadan Sumarlin Rengko HR Takwa Ulfa Lestari Astuti Wahida Wahida Yawan, Hendri Yuwanda Purnamasari Pasrun Z. Zakaria Zaid, Sudirman